Attending @NeurIPSConf this year? Stop by the Google booth where you can chat with researchers, attend a demo or Q&A session, and learn about some of the many research projects our researchers are presenting throughout the conference. http://
goo.gle/3gNAsHL
@googleai
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Google Showcases AI Research at NeurIPS Conference
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ML Study Analyzes Gender and Diversity in Television Content
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In partnership with @GeenaDavisOrg & @USC
, we used ML to study perceived gender expression, skin tone, and age representation in TV shows over the past 12 years. We analyzed 440 hours of footage to understand trends in screen & speaking time. Learn more ↓ -
Google Launches PhD Fellowships for Latin American AI Research
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Applications for the first-ever Google PhD Fellowships for students in Latin America open today, along with applications to support early-career professors through Research Scholar. Read more about our investments in the Latin American research ecosystem ↓
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Google Chat Introduces AI-Powered Conversation Summaries for Spaces
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→ Information overload is a significant challenge for many, but summarization can help.
— Google AI (@GoogleAI) 18 novembre 2022
→ We’re introducing conversation summaries in Google Chat for messages in Spaces.
→ Learn more (…than the summary above) here: https://t.co/4ky3AGsCO5 pic.twitter.com/ue0lrOJ0vy→ Information overload is a significant challenge for many, but summarization can help.
→ We’re introducing conversation summaries in Google Chat for messages in Spaces.
→ Learn more (…than the summary above) here: https://
goo.gle/3TJsm0t -
Data Cards Playbook: Toolkit for Responsible ML Systems
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Check out The Data Cards Playbook, a self-guided toolkit that promotes practices to improve model and dataset transparency so that teams across organizations can develop responsible ML systems and datasets. Learn more and try out yourself → https://t.co/Zf41cgMReI pic.twitter.com/1ZEA4Jt3qC
— Google AI (@GoogleAI) 17 novembre 2022Check out The Data Cards Playbook, a self-guided toolkit that promotes practices to improve model and dataset transparency so that teams across organizations can develop responsible ML systems and datasets. Learn more and try out yourself → https://
goo.gle/3UJT8qx -
Google Researchers Develop Wildfire Simulation AI Models
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Watch the 7th episode of #MeetAGoogleResearcher, where @drewcalcagno speaks with researchers Vivian Yang and John Anderson to discuss their work on wildfire simulation to better understand and react to these disasters ↓
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Expert Choice: Novel Mixture-of-Experts Routing Algorithm
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Introducing a novel mixture-of-experts routing algorithm, called Expert Choice, that can achieve optimal load balancing between experts while allowing heterogeneous token-to-expert mapping. Learn how it’s done at https://
goo.gle/3OdpO9t -
Federated Learning: Training ML Models While Protecting User Privacy
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While most #ML models are trained by collecting data on a central server, federated learning makes it possible to train models without any user's raw data leaving their device. Check out the latest AI Explorable on how federated learning protects privacy→ https://t.co/5hDzyWomiO pic.twitter.com/xwd4xrn4Wi
— Google AI (@GoogleAI) 11 novembre 2022While most #ML models are trained by collecting data on a central server, federated learning makes it possible to train models without any user's raw data leaving their device. Check out the latest AI Explorable on how federated learning protects privacy→ https://
pair.withgoogle.com/explorables/fe
derated-learning/
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Google Releases Universal Video Quality Model Open-Source
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Today we announce the open-source release of the Universal Quality (UVQ) model. Read the blog to learn more, and be sure to check out the model → https://
github.com/google/uvq -
Emergent Capabilities in Large-Scale Language Models Explained
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As language models increase in scale they sometimes exhibit various useful emergent capabilities. In today’s post, we explore this phenomenon to better understand its dependence on model properties and its potential impact in applications. Read more at https://
goo.gle/3hvJMAb